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Battery Machine Learning Jobs in Seattle, WA (NOW HIRING)

You will bridge the gap between Geospatial Intelligence and Machine Learning to revolutionize our ... Drive the development of high-scale scheduling systems that manage battery life, maintenance cycles ...

You will bridge the gap between Geospatial Intelligence and Machine Learning to revolutionize our ... Drive the development of high-scale scheduling systems that manage battery life, maintenance cycles ...

You will bridge the gap between Geospatial Intelligence and Machine Learning to revolutionize our ... Drive the development of high-scale scheduling systems that manage battery life, maintenance cycles ...

Design Engineer II/Sr

Redmond, WA · On-site +1

$91K - $140K/yr

Experience with battery qualification and machine integration involving advanced battery ... Learning. * For more information on why Terex is a great place to work click on the link ! Careers ...

Design Engineer II/Sr

Redmond, WA · On-site

$91K - $140K/yr

Experience with battery qualification and machine integration involving advanced battery ... Learning. * For more information on why Terex is a great place to work click on the link ! Careers ...

Experience with VNA, logic analyzer, signal analyzer, battery simulator, data acquisition device ... Please note that Meta may leverage artificial intelligence and machine learning technologies in ...

Energy Sourcing Manager

Reston, VA · On-site +1

$132K/yr

Knowledge of behind-the-meter generation, battery storage, or microgrid solutions as components of ... Please note that Meta may leverage artificial intelligence and machine learning technologies in ...

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Battery Machine Learning information

What are the key skills and qualifications needed to thrive as a Battery Machine Learning Engineer, and why are they important?

To thrive as a Battery Machine Learning Engineer, you need a strong background in machine learning, data analysis, and battery science, typically supported by a degree in engineering, computer science, or a related field. Familiarity with Python, TensorFlow or PyTorch, data processing tools, and battery management system (BMS) software is highly valued. Strong problem-solving skills, collaboration, and effective communication set standout professionals apart in this role. These skills are essential to develop accurate predictive models that optimize battery performance and longevity, driving innovation in energy storage technologies.

What is battery machine learning and what do professionals in this field do?

Battery machine learning involves the application of machine learning algorithms to analyze, predict, and optimize the performance, lifespan, and safety of batteries. Professionals in this field work on developing data-driven models to forecast battery degradation, enhance energy management systems, and improve battery design. Their work is crucial in sectors such as electric vehicles, renewable energy storage, and consumer electronics, where battery efficiency and reliability are key. By leveraging large datasets from battery usage and testing, they help accelerate innovation and reduce costs in battery technology.

What are some common challenges faced by professionals working in Battery Machine Learning roles?

Professionals in Battery Machine Learning often encounter challenges related to limited or noisy datasets, as battery performance data can be expensive and time-consuming to collect. Additionally, integrating domain knowledge from electrochemistry with advanced machine learning techniques requires strong interdisciplinary collaboration. Staying up-to-date with both the latest AI methods and battery technology advancements is essential but can be demanding. Collaborating closely with researchers, engineers, and data scientists is a key aspect of the role, as projects frequently depend on cross-functional teamwork to translate predictive insights into practical battery innovations.
What are popular job titles related to Battery Machine Learning jobs in Seattle, WA? For Battery Machine Learning jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Battery Machine Learning jobs in Seattle, WA look for? The top searched job categories for Battery Machine Learning jobs in Seattle, WA are:
Research Scientist Intern, NMR Analysis Automation

Research Scientist Intern, NMR Analysis Automation

Meta

Redmond, WA

$7.3K - $12K/mo

Full-time, Internship

Posted 14 days ago


Meta rating

7.5

Company rating: 7.5 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

135th of 209 rated software companies


Job description

Meta Reality Labs is seeking a Research Scientist Intern to contribute to cutting-edge materials research in support of the next generation of hardware. Accelerating battery materials discovery requires evaluating large numbers of electrolyte formulations, but analytical characterization remains a manual bottleneck. As an intern, you will build an end-to-end automated NMR analysis pipeline that transforms raw spectrometer data into ML-ready descriptors, reducing expert analysis time from hours to seconds per spectrum while maintaining quantitative accuracy. Your work will directly enable closed-loop, AI-driven electrolyte discovery for next-generation batteries.
Research Scientist Intern, NMR Analysis Automation Responsibilities:
  • Design and execute data processing pipelines for automated analysis of NMR spectra of liquid non-aqueous battery electrolytes (1H, 7Li, 13C, 19F, 31P nuclei) with a clear, measurable speedup over manual analysis
  • Implement signal processing workflows including denoising, automated peak identification and assignment, and constrained deconvolution for overlapping spectral regions in multi-component electrolyte mixtures
  • Identify the optimum parameters of the pipeline that balance accuracy and throughput
  • Convert NMR spectra into molecular level compositional and structural descriptors (concentrations, chemical structures) to be used for machine learning models
  • Build spectral quality assessment modules that flag problematic spectra and unreliable fits

Minimum Qualifications:
  • Currently pursuing a PhD in analytical chemistry, physical chemistry, chemical engineering, or a related field
  • Experience with solution-state NMR spectroscopy – theory, data interpretation, and quantitative analysis
  • Proficiency in Python for scientific data processing, including experience with spectral analysis or signal processing
  • Experience building automated data processing pipelines or batch analysis workflow

Preferred Qualifications:
  • Experience with 2D (COSY) NMR and pulse field gradient NMR experiments
  • Experience designing experiments and analyzing data to validate hypotheses (e.g., DOE, statistical analysis, reproducibility studies)
  • Familiarity with machine learning concepts and feature engineering for predictive models
  • Background in electrochemistry or lithium-ion battery materials
  • Familiarity with Bruker hardware and software, including raw data formats
  • Experience with NMR of battery electrolytes, ionic liquids, or concentrated salt solutions

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$7,313/month to $12,134/month + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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